Maxent output produced using
SDMtune version 1.3.2 (Vignali S. et al.,
2020).
ROC curve
Thresholds
|
Threshold
|
Cloglog value
|
Fractional predicted area
|
Training omission rate
|
Test omission rate
|
P-values
|
|
Minimum training presence
|
0.006578048
|
0.8172853
|
0.00000000
|
0.0000000000
|
0
|
|
Equal training sensitivity and specificity
|
0.270280475
|
0.1817193
|
0.18309859
|
0.0004583552
|
0
|
|
Maximum training sensitivity plus specificity
|
0.241340605
|
0.2001806
|
0.14788732
|
0.0003273965
|
0
|
|
Equal test sensitivity and specificity
|
0.243896540
|
0.1985949
|
0.15492958
|
0.0003273965
|
0
|
|
Maximum test sensitivity plus specificity
|
0.142365215
|
0.2699515
|
0.08450704
|
0.0001309586
|
0
|
Distribution map
Variable importance
|
Variable
|
Permutation_importance
|
sd
|
|
pp_seasonality
|
33.6
|
0.023
|
|
sum
|
22.5
|
0.012
|
|
pp_driest_m
|
17.3
|
0.018
|
|
pp_wettest_m
|
15.3
|
0.008
|
|
temp_range_diurnal
|
5.6
|
0.005
|
|
temp_isothermality
|
3.2
|
0.007
|
|
temp_mean_annual
|
2.4
|
0.004
|
Jackknife test
Model settings
Shown below the settings used to train the model:
- Model type: Maxent
- Train locations: 86539
- presence: 142
- absence/background: 86397
- Test locations: 15272
- presence: 25
- absence/background: 15247
- Continuous variables: pp_driest_m, pp_seasonality, pp_wettest_m,
temp_isothermality, temp_mean_annual, temp_range_diurnal, sum
- Categorical variables:
- Output type: cloglog
- Feature Class combination: lpq
- Regularization multiplier: 1
- Do clamping for predictions: FALSE,
- Extra arguments: removeduplicates=false,
addsamplestobackground=false
References
- Vignali, S., Barras, A. G., Arlettaz, R., Braunisch, V. (2020).
SDMtune: An R package to tune and evaluate species distribution
models. Ecology and Evolution, 10(20), 11488–11506. https://doi.org/10.1002/ece3.6786
- Vignali, S., Barras, A. G., Braunisch, V. (2024). SDMtune:
Species Distribution Model Selection. R package version 1.3.2. https://CRAN.R-project.org/package=SDMtune